Zia SOC Events is a production-grade dataset containing over 20,000,000 rows of high-fidelity synthetic Security Operations Center event logs. It was created by ziadatalabs and last updated on 2026-06-07. The dataset is designed for training machine learning models and stress-testing security pipelines without exposing real credentials or personal data.
Use Cases
- Training ML-driven threat detection models based on synthetic SOC event logs.
- Stress-testing SIEM pipelines based on high-fidelity event data.
- Benchmarking SOC analyst workflows based on simulated security events.
Strengths
- Contains over 20,000,000 rows of data.
- Described as having a rich schema with 23 core features.
- Synthetic nature avoids exposure of real credentials, IP infrastructure, or PII.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Last updated 2026-06-07 19:01:41; freshness should be verified.
Provenance
- Source
- ziadatalabs
- Collection Method
- Synthetically generated.
- Freshness
- Last updated 2026-06-07 19:01:41.